Google Cloud products, services, and solutions

A company uses Cloud CDN to deliver static content. They notice that some content is being served stale despite a TTL of 1 hour. What should they check to ensure content is always fresh?

An enterprise wants to give its business intelligence team a governed analytics platform where data models are defined centrally with version-controlled semantic definitions, and all reports are guaranteed to use the same business metric definitions. Which Google Cloud product is designed for this governed BI use case?

A company uses BigQuery for analytics and needs to enforce row-level security based on user department. Only users from the 'Sales' department should see rows where department = 'Sales'. Which BigQuery feature should they use?

A company runs many containerized microservices that need orchestration — automatic scheduling, scaling, self-healing, and rolling updates. They want a managed service so they don't maintain the control plane themselves. Which Google Cloud service is purpose-built for this?

A startup needs to build a mobile application backend. They need user authentication, a real-time database that syncs to mobile clients automatically, and serverless functions for business logic — all managed with minimal backend engineering. Which Google Cloud platform provides this integrated mobile/web backend solution?

A startup is building an application that sends daily promotional push notifications to millions of mobile users on both iOS and Android devices. Which Google Cloud or Google service most directly provides the infrastructure for sending these mobile push notifications?

A developer needs to grant a service account the minimum permissions required to publish messages to a Pub/Sub topic. Which IAM role should they assign?

A developer wants to deploy a containerized web application without managing servers, clusters, or Kubernetes configuration. The application should automatically scale to zero when not in use and handle bursts of traffic. Which Google Cloud service is the best fit?

A company wants to add location-based features to their mobile app: showing nearby stores, calculating driving routes, and embedding interactive maps. Which Google Cloud platform provides these mapping and location services?

A company wants to use pre-trained Google AI models to add vision capabilities to their application — specifically to detect objects in images and extract text from scanned documents — without training their own models. Which Google Cloud APIs provide these capabilities?

A media company stores video files, images, and static website assets that must be served globally with low latency. They want an object storage solution that is highly durable, accessible via standard HTTPS, and can be configured to make specific assets publicly accessible. Which Google Cloud storage product is most appropriate?

A data engineering team needs to orchestrate a complex data pipeline that involves multiple steps: extracting data from various sources, transforming it with Dataflow, loading it into BigQuery, and running validation jobs — all in a specific sequence with retry logic and scheduling. Which Google Cloud service manages this workflow orchestration?

A company wants to expose its internal backend services to external partners through a managed API layer that handles authentication, rate limiting, traffic management, and analytics — without modifying the underlying services. Which Google Cloud product is designed for this API management use case?

Refer to the exhibit. A company configures a lifecycle policy on a Cloud Storage bucket. The bucket contains objects uploaded over the past year with custom time set on each object. After 60 days, what happens to the objects?

An enterprise needs advanced business intelligence capabilities: governed semantic models that business users query with natural language, embedded analytics in their customer-facing application, and centralized data access controls. Which Google Cloud analytics product is purpose-built for these enterprise BI requirements?

A developer is building a mobile backend that receives thousands of events per second from IoT devices. The events must be processed in real time and then stored for analysis. Which set of services should they use?

A startup wants to deploy a containerized web application without managing the underlying infrastructure. They want to only focus on code. Which Google Cloud service is most suitable?

A retail company wants to build a recommendation engine that suggests products to customers based on their browsing history. The team has ML expertise but wants to use Google's pre-built ML infrastructure to train and deploy models at scale without managing compute resources. Which Google Cloud service should they use?

A software team deploys microservices using containers and wants Google Cloud to automatically manage the scaling, self-healing, and rollout of their containerized applications. They don't want to provision or manage underlying virtual machines. Which Google Cloud service best meets this need?

A business intelligence team wants to create interactive dashboards and reports from their BigQuery data without writing code. They need to share reports with stakeholders who don't have GCP accounts. Which Google Cloud tool is most appropriate?

A company needs to run containerized workloads but wants to avoid managing Kubernetes cluster infrastructure (node pools, cluster upgrades, node autoscaling) entirely. They want to simply deploy container images and have Google Cloud manage all underlying infrastructure automatically. Which Google Cloud product best fits this fully managed container execution requirement?

A company is designing a disaster recovery plan for its critical application running on Google Kubernetes Engine (GKE) in us-central1. The application uses Cloud SQL (MySQL) as its database. Which TWO actions should the company take to achieve a Recovery Point Objective (RPO) of less than 5 minutes and a Recovery Time Objective (RTO) of less than 1 hour in the event of a regional outage? (Choose two.)

A company wants to connect its on-premises network to Google Cloud for consistent low-latency access to resources. They also need to use the same network policies across multiple projects. Which two Google Cloud products should they use?

A company is building a new application that needs to send transactional emails (order confirmations, password resets, account notifications) to customers. Google Cloud does not provide a native SMTP email service. Which approach is standard for sending transactional emails from Google Cloud applications?

A logistics company needs to send millions of shipment status updates per day from IoT tracking devices to backend systems for processing and storage. The solution must decouple the tracking devices from the backend and handle traffic spikes without losing messages. Which Google Cloud product best fits this asynchronous messaging requirement?

A company wants to build an application that can understand and respond to natural language queries from customers (e.g., a customer support chatbot). Which Google Cloud capability should they use?

A healthcare company needs to run a large batch processing job that analyzes patient records using Apache Spark, transforming data from Cloud Storage and writing results to BigQuery. The job runs once daily and requires a large cluster that should exist only during the job. Which Google Cloud product best handles this ephemeral large-batch Spark workload?

A startup's web application is being targeted by a denial-of-service attack that is flooding its servers with millions of fake requests per second. Which Google Cloud product provides automatic DDoS protection for the application?

A development team builds a mobile app using Firebase. They need a real-time database that syncs data across all connected clients instantly (e.g., a collaborative to-do app where all users see updates in real-time). Which Firebase/Google Cloud service provides this?

A company wants to enable its developers to write and run code in various programming languages (Python, Node.js, Go) without provisioning or managing any servers. The code should execute in response to HTTP requests. Which Google Cloud product is designed for this serverless, function-level execution model?

Match each Google Cloud migration term to its description.

A company uses Cloud Storage to store backup files. The files are accessed on average once per year. To minimize storage costs while complying with a 365-day retention policy, which storage class should they use?

A data engineering team needs to build a pipeline that reads event data from Pub/Sub in real time, applies transformations and aggregations, and writes results to BigQuery — all without managing any infrastructure. Which Google Cloud product is designed for this serverless stream and batch data processing use case?

A marketing team wants to create interactive dashboards and reports for business stakeholders using data stored in BigQuery, without writing code. Which Google Cloud product is most appropriate for this self-service business intelligence requirement?

A software team wants to host their container images securely within Google Cloud and integrate with Cloud Build for CI/CD pipelines and GKE for deployments. Which Google Cloud product serves as the managed repository for storing and managing container images?

A company migrated a microservices application to Google Kubernetes Engine (GKE). They set up an internal HTTP(S) load balancer to route traffic to the services. However, some pods are not receiving traffic. What is the most likely cause?

A developer needs to store application secrets (database passwords, API keys, OAuth tokens) securely so that they are not hardcoded in source code or environment variables. The secrets should be automatically versioned and rotatable. Which Google Cloud product is designed for this secure secrets management requirement?

Refer to the exhibit. A user receives this error when trying to SSH into a Compute Engine instance. Which IAM role should be granted to the user?

A financial services company is migrating a legacy monolithic application to Google Cloud. The application uses a SQL Server database and has compliance requirements to encrypt data at rest and in transit. The migration must minimize code changes. The application runs on Windows Server and currently uses Active Directory for authentication. The company wants to use Google Cloud's managed services where possible. Which approach best meets these requirements?

A company is deploying a global web application with static content (images, CSS, JS) and dynamic API calls. They want to reduce latency for users worldwide. Which TWO services should they combine? (Choose 2)

A global e-commerce company wants to build a product recommendation engine that suggests items to customers based on their real-time browsing behavior and purchase history. They want a pre-built solution that doesn't require building an ML recommendation model from scratch. Which Google Cloud product is purpose-built for retail recommendations?

A company wants to use Google Cloud's Generative AI capabilities to build an internal assistant that can answer questions about company policies using documents stored in Google Drive. Which Google Cloud product provides pre-built infrastructure for building this type of AI application?

A company wants to create a customer-facing conversational AI assistant that understands natural language and can answer questions about its products, integrated into their website and mobile app. Which Google Cloud AI product is the most appropriate starting point?

A financial services company runs a multi-tier application on Google Kubernetes Engine (GKE). The application consists of a frontend service, a backend service, and a database on Cloud SQL. Recently, they noticed that the backend service experiences high latency during peak trading hours, causing the frontend to time out. The backend service is CPU-intensive and currently runs with a single replica. The team wants to reduce latency and ensure high availability without over-provisioning resources. They have enabled Horizontal Pod Autoscaling (HPA) based on CPU utilization with a target of 80% and default stabilization windows. However, during sudden traffic spikes, the HPA takes over 5 minutes to scale up because of the scale-up stabilization window and the time to trigger. The company cannot tolerate latency spikes during scaling. Which course of action should they take to minimize latency during traffic spikes?

A retail company needs to process financial transactions requiring strict ACID compliance, serve global customers with consistent low-latency reads and writes, and scale horizontally without downtime for maintenance. Which Google Cloud database service is uniquely designed to meet all three requirements simultaneously?

A team uses multiple cloud services and wants to deploy all resources — VPCs, Cloud SQL databases, GKE clusters, and IAM roles — using a declarative, open-source infrastructure-as-code tool that works across multiple cloud providers. Which tool integrates natively with Google Cloud for this purpose?

A company is running a PostgreSQL database on Cloud SQL and needs to ensure high availability with automatic failover in the event of a zone failure. Which configuration should they use?

A multinational corporation needs to establish a private, low-latency connection between their on-premises data center and Google Cloud. The connection must be consistent, reliable, and support at least 10 Gbps throughput. Which solution should they use?

A retail company wants to migrate its on-premises e-commerce platform to Google Cloud. The application is stateless and runs on virtual machines. The company wants to minimize operational overhead and allow the application to automatically scale based on CPU utilization. Which Google Cloud service should they use?

An enterprise wants employees to access internal web applications securely from any location (including remote work from home) without using a VPN. Employees should only access apps they're authorized for, based on their identity and device context. Which Google Cloud service enables this zero-trust access model?

A company is planning to migrate a legacy monolithic Linux application to Google Cloud. They want to minimize changes initially but have the flexibility to modernize later. Which three approaches should they consider?

A company uses Cloud SQL for PostgreSQL and needs to run complex analytical queries on the same dataset without affecting the performance of the transactional database. What should they do?

A data team has an IAM policy on a BigQuery dataset as shown. Alice needs to run a query that joins across multiple datasets. She receives a permission error. What is the most likely cause?

A media company has a web application that serves video content globally. The application is deployed on Compute Engine instances behind a TCP load balancer in a single region. Users in distant regions experience high latency. The company wants to improve performance for all users while keeping operational overhead low. They also need to handle sudden spikes in traffic during live events. What should they do?

A company's PostgreSQL database has grown to 50 TB and their application requires near-zero downtime, automatic failover, and the ability to scale reads horizontally without the migration complexity of switching to Spanner. Which Google Cloud database product is specifically designed as a fully managed, highly scalable PostgreSQL-compatible database?

A machine learning team wants to train, evaluate, deploy, and monitor ML models in a unified platform without managing infrastructure, and with built-in support for experiment tracking, model versioning, and A/B testing between model versions. Which Google Cloud product provides this end-to-end managed ML platform?

A company wants to migrate its existing on-premises virtual machines (VMware VMs) to Google Cloud with minimal changes to the operating system and applications. Which Google Cloud product is specifically designed for migrating on-premises VMs to Google Cloud with minimal modification?

Match each Google Cloud AI/ML term to its definition.

A healthcare organization wants to build an application that ingests FHIR-formatted patient records from multiple hospital systems, normalizes them, and makes them queryable by clinical researchers. Which Google Cloud service is purpose-built for healthcare data interoperability?

A company currently uses Hadoop and Spark for batch data processing on a large on-premises cluster. They want to migrate these workloads to Google Cloud with minimal rewriting of existing Spark and Hadoop jobs. Which Google Cloud service is the best fit?

A development team needs a managed relational database (MySQL or PostgreSQL) for their web application. They want automatic backups, patching, and high availability without managing a database server. Which Google Cloud service provides this?

A project manager wants a cost-effective way to run batch processing jobs that run for a few hours each night. The jobs are fault-tolerant and can be interrupted. Which Compute Engine option is most suitable?

A company needs to analyze streaming data from IoT devices in real time. Which Google Cloud service should they use as the primary ingestion and analysis pipeline?

A company runs workloads across Google Cloud and on-premises environments. They want a single management plane to deploy and manage containerized applications consistently across both environments using the same tooling and policies. Which Google Cloud product provides this unified hybrid/multi-cloud management?

A company's operations team needs visibility into network traffic patterns, latency between services, and potential network bottlenecks across their Google Cloud deployment. Which Google Cloud product provides network performance monitoring, connectivity testing, and traffic analysis?

Given the Cloud Run service configuration above, what happens when a new revision is created after deploying a change to the container image?

A company's web application faces DDoS attacks and SQL injection attempts from the internet. They need a service that sits in front of their load balancer to block malicious traffic before it reaches their application servers. Which Google Cloud service provides this protection?

A company runs a data processing pipeline on a single Compute Engine instance in us-west1-a. The instance reads data from Cloud Storage, processes it, and writes results back to Cloud Storage. The pipeline runs once per day and takes about 6 hours. Recently, the instance has been experiencing out-of-memory errors, causing the pipeline to fail. The operations team wants a cost-effective solution that can handle varying data volumes without manual intervention. They also want to ensure the pipeline completes within the daily window. What should they do?

A company wants to send transactional emails (receipts, password resets) and marketing emails at scale from their application. Which approach is recommended when using Google Cloud?

A global fintech company needs a database that can handle financial transactions across 50+ countries with consistent, ACID-compliant operations, SQL queries, and automatic global replication with no downtime for maintenance. Which Google Cloud database service meets all these requirements?

A healthcare provider wants to use AI to analyze unstructured medical records — scanned documents with handwritten notes and printed text — to extract diagnosis codes for billing. Which combination of Google Cloud AI products most directly addresses this document understanding use case?

A developer deploys a Cloud Function with the command shown. The function needs to process a file upload that typically takes 2 minutes. What is the most likely issue?

A multinational retail company has an on-premises infrastructure with a mix of Windows and Linux servers. They are planning to migrate their e-commerce platform to Google Cloud to take advantage of scalability and reduce latency. The platform consists of a web frontend (Apache), a backend API (Node.js), and a MySQL database. They want to minimize downtime during the migration. They have a limited budget and need a solution that is cost-effective and quick to implement. The IT team has experience with containers but prefers to avoid managing Kubernetes. Which approach should they take?

A development team uses Cloud Build to automatically build, test, and create container images whenever code is pushed to their repository. The resulting Docker images need to be stored securely and made available to their GKE deployment pipelines. Which Google Cloud service stores and manages these container images?

A company needs to send messages between different microservices in a decoupled way. When one service publishes an event, multiple downstream services should receive and process it independently. Which Google Cloud service enables this publish-subscribe messaging pattern?

A team uses Terraform to create a VPC as shown. They now need to add a Compute Engine instance in the subnet. Which of the following correctly references the subnet?

A company wants to monitor the health and performance of their applications running on Google Cloud. Which two Google Cloud services should they use together for comprehensive observability?

A DevOps team wants to automate their software build, test, and deployment process on Google Cloud. They need a service that triggers automatically when code is pushed to a repository, builds container images, runs tests, and deploys to production. Which Google Cloud product orchestrates this CI/CD pipeline?

A developer wants to run a small piece of code that resizes images whenever a new image is uploaded to Cloud Storage. The code runs for less than a second and should only be triggered by the upload event. No always-on server is needed. Which Google Cloud service is ideal?

A company wants to connect its on-premises data center to Google Cloud with a reliable, lower-latency connection that doesn't traverse the public internet, but doesn't need the bandwidth of a full Dedicated Interconnect. Which Google Cloud connectivity product is most appropriate?

A company wants to store archival data that must be retained for 10 years. The data is accessed less than once a year. Which Cloud Storage class is the most cost-effective?

Drag and drop the steps to deploy a containerized application to Google Kubernetes Engine (GKE) into the correct order.

A startup's website becomes unexpectedly popular and traffic spikes 50x within minutes. The application is hosted on Google Cloud. Which Google Cloud product automatically increases the number of application instances in response to this traffic spike without manual intervention?

A startup wants to run a containerized web application that scales to zero when not in use, and only pay for the time the container is processing requests. Which Google Cloud compute service should they choose?

A data analytics team uses BigQuery for large-scale queries. They notice that queries are scanning more data than necessary, leading to high costs. Which feature should they implement to reduce the amount of data scanned per query?

A financial services company needs a managed data warehouse that can ingest streaming transaction data in real time AND support complex SQL analytics across years of historical data — all without managing any infrastructure. Which Google Cloud product meets both streaming ingest and analytical query requirements in a single serverless service?

A company uses Cloud Spanner for a global application. They need to ensure high availability and disaster recovery across regions. Which TWO actions should they take? (Choose 2)

A power utility company collects electricity meter readings from 10 million smart meters every 15 minutes — generating billions of rows of time-series data per year. They need to query this data to detect anomalies and patterns. Which Google Cloud database is optimized for this massive-scale time-series IoT data?

A data analytics team needs to analyze petabytes of structured data using SQL queries without managing any database infrastructure. Query results must return within seconds for most queries. Which Google Cloud service is designed for this use case?

A company's analytics team wants to enable business users to create their own reports and dashboards from a governed set of BigQuery data, without writing SQL. At the same time, the data engineering team must maintain centralized control over how key metrics (like 'revenue' or 'active users') are defined. Which Google Cloud product architecture best meets both requirements?

A healthcare organization needs to store and analyze large volumes of patient diagnostic imaging data (e.g., DICOM files) in Google Cloud. The data must be stored in a cost-effective manner for long-term retention, with the ability to query metadata and run analytics using SQL-like queries. Which combination of Google Cloud services best meets these requirements?

A company wants its internal applications to be accessible via a custom domain name (e.g., `app.company.com`) that routes to their Google Cloud load balancer. Which Google Cloud service manages DNS records for this?

A company runs a mission-critical PostgreSQL database on Google Cloud that must support automatic failover to a standby instance within 60 seconds if the primary instance fails, with minimal data loss. Which Cloud SQL configuration satisfies this high availability requirement?

A team needs to process and analyze streaming data in real-time as it arrives from IoT sensors. The pipeline must apply transformations, filter events, and write results to BigQuery. Which Google Cloud service is designed for this stream processing use case?

A company wants to implement a CI/CD pipeline for their Cloud Run services. Which THREE Google Cloud services should they use? (Choose 3)

A company needs to store large volumes of unstructured data (images, videos, backups, documents) with high durability and global accessibility. Which Google Cloud service is designed for object storage at any scale?

A company's DevOps team wants to orchestrate a complex workflow that involves calling multiple Google Cloud APIs in sequence — first running a Cloud Build job, then checking the results, then either deploying to Cloud Run or sending a notification. Which Google Cloud product is designed for orchestrating multi-step workflow logic?

A data analytics team needs to run a one-time transformation on 10 TB of data stored in Cloud Storage, then load the results into BigQuery. The transformation is a custom Java application that reads files, processes them, and writes to a new location. Which service should they use to minimize operational overhead?

A company wants to monitor its Google Cloud spending and receive alerts when costs exceed a threshold. Which two services should they use together?

Drag and drop the steps to set up a Cloud CDN for a backend bucket in the correct order.

A data analyst at a media company needs to run complex SQL queries on petabytes of user engagement data to produce weekly reports. The dataset is stored in Google Cloud. Which Google Cloud product is purpose-built for this type of large-scale analytical SQL workload?

A company is running a latency-sensitive application on Compute Engine instances in a single zone. They want to improve availability without sacrificing low latency. Which strategy should they use?

A company wants to migrate a legacy monolithic application to Google Cloud with minimal code changes. The application runs on a specific OS version and uses a relational database. Which migration approach is most suitable?